Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria

The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the presen...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of engineering research in Africa (Print) 2018-12, Vol.40, p.63-77
Hauptverfasser: Ogunmokun-Akinmolu, Bukola, Ojuri, Oluwapelumi O., Ola, Samuel A., Oluwatuyi, Opeyemi E.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 77
container_issue
container_start_page 63
container_title International journal of engineering research in Africa (Print)
container_volume 40
creator Ogunmokun-Akinmolu, Bukola
Ojuri, Oluwapelumi O.
Ola, Samuel A.
Oluwatuyi, Opeyemi E.
description The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed.
doi_str_mv 10.4028/www.scientific.net/JERA.40.63
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2197387952</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2197387952</sourcerecordid><originalsourceid>FETCH-LOGICAL-c353t-bd817fcbc6957f20fc435325c13f5b402de404cd0f893b1f43124710d3d0216d3</originalsourceid><addsrcrecordid>eNqNkFlrAjEUhYfSQsX6HwKlj6PZZnsoRax2QdviQh_DTBaNjDM2yVT8982g4Gufktx77jm5XxA8INinEKeDw-HQt1zLymmleb-SbvA-ng99sx-Tq6CD4piEFFF6fb6TKEG3Qc_aLYQQZzHGFHYCNbZO73KnqzWY17kAX_mv3HlXMMl12RgJFo3lcu90oUvtjmBlW2kOZrXwwVKA5fN8OFu0b1kCXYFF3bhN-C2tk6YCH3otjc7vghuVl1b2zmc3WE3Gy9FrOP18eRsNpyEnEXFhIVKUKF7wOIsShaHi1NdxxBFRUeH3FpJCygVUaUYKpChBmCYICiIgRrEg3eD-5Ls39U_j_8C2dWMqH8kwyhKSJlmEverxpOKmttZIxfbGQzBHhiBr6TJPl13oMk-XtXR9k8XEzz-d5p3JK78n31xi_ufwB0XhixE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2197387952</pqid></control><display><type>article</type><title>Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria</title><source>Scientific.net Journals</source><creator>Ogunmokun-Akinmolu, Bukola ; Ojuri, Oluwapelumi O. ; Ola, Samuel A. ; Oluwatuyi, Opeyemi E.</creator><creatorcontrib>Ogunmokun-Akinmolu, Bukola ; Ojuri, Oluwapelumi O. ; Ola, Samuel A. ; Oluwatuyi, Opeyemi E.</creatorcontrib><description>The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed.</description><identifier>ISSN: 1663-3571</identifier><identifier>ISSN: 1663-4144</identifier><identifier>EISSN: 1663-4144</identifier><identifier>DOI: 10.4028/www.scientific.net/JERA.40.63</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><subject>Asphalt ; California bearing ratio ; Cambering ; Computer simulation ; Failure analysis ; Loads (forces) ; Mathematical models ; Parameters ; Pavements ; Penetration tests ; Ratings ; Roads ; Water table ; Water table depth ; Weight</subject><ispartof>International journal of engineering research in Africa (Print), 2018-12, Vol.40, p.63-77</ispartof><rights>2018 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Dec 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-bd817fcbc6957f20fc435325c13f5b402de404cd0f893b1f43124710d3d0216d3</citedby><cites>FETCH-LOGICAL-c353t-bd817fcbc6957f20fc435325c13f5b402de404cd0f893b1f43124710d3d0216d3</cites><orcidid>0000-0002-0499-6998</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/4551?width=600</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ogunmokun-Akinmolu, Bukola</creatorcontrib><creatorcontrib>Ojuri, Oluwapelumi O.</creatorcontrib><creatorcontrib>Ola, Samuel A.</creatorcontrib><creatorcontrib>Oluwatuyi, Opeyemi E.</creatorcontrib><title>Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria</title><title>International journal of engineering research in Africa (Print)</title><description>The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed.</description><subject>Asphalt</subject><subject>California bearing ratio</subject><subject>Cambering</subject><subject>Computer simulation</subject><subject>Failure analysis</subject><subject>Loads (forces)</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>Pavements</subject><subject>Penetration tests</subject><subject>Ratings</subject><subject>Roads</subject><subject>Water table</subject><subject>Water table depth</subject><subject>Weight</subject><issn>1663-3571</issn><issn>1663-4144</issn><issn>1663-4144</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkFlrAjEUhYfSQsX6HwKlj6PZZnsoRax2QdviQh_DTBaNjDM2yVT8982g4Gufktx77jm5XxA8INinEKeDw-HQt1zLymmleb-SbvA-ng99sx-Tq6CD4piEFFF6fb6TKEG3Qc_aLYQQZzHGFHYCNbZO73KnqzWY17kAX_mv3HlXMMl12RgJFo3lcu90oUvtjmBlW2kOZrXwwVKA5fN8OFu0b1kCXYFF3bhN-C2tk6YCH3otjc7vghuVl1b2zmc3WE3Gy9FrOP18eRsNpyEnEXFhIVKUKF7wOIsShaHi1NdxxBFRUeH3FpJCygVUaUYKpChBmCYICiIgRrEg3eD-5Ls39U_j_8C2dWMqH8kwyhKSJlmEverxpOKmttZIxfbGQzBHhiBr6TJPl13oMk-XtXR9k8XEzz-d5p3JK78n31xi_ufwB0XhixE</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Ogunmokun-Akinmolu, Bukola</creator><creator>Ojuri, Oluwapelumi O.</creator><creator>Ola, Samuel A.</creator><creator>Oluwatuyi, Opeyemi E.</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-0499-6998</orcidid></search><sort><creationdate>20181201</creationdate><title>Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria</title><author>Ogunmokun-Akinmolu, Bukola ; Ojuri, Oluwapelumi O. ; Ola, Samuel A. ; Oluwatuyi, Opeyemi E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-bd817fcbc6957f20fc435325c13f5b402de404cd0f893b1f43124710d3d0216d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Asphalt</topic><topic>California bearing ratio</topic><topic>Cambering</topic><topic>Computer simulation</topic><topic>Failure analysis</topic><topic>Loads (forces)</topic><topic>Mathematical models</topic><topic>Parameters</topic><topic>Pavements</topic><topic>Penetration tests</topic><topic>Ratings</topic><topic>Roads</topic><topic>Water table</topic><topic>Water table depth</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ogunmokun-Akinmolu, Bukola</creatorcontrib><creatorcontrib>Ojuri, Oluwapelumi O.</creatorcontrib><creatorcontrib>Ola, Samuel A.</creatorcontrib><creatorcontrib>Oluwatuyi, Opeyemi E.</creatorcontrib><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of engineering research in Africa (Print)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ogunmokun-Akinmolu, Bukola</au><au>Ojuri, Oluwapelumi O.</au><au>Ola, Samuel A.</au><au>Oluwatuyi, Opeyemi E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria</atitle><jtitle>International journal of engineering research in Africa (Print)</jtitle><date>2018-12-01</date><risdate>2018</risdate><volume>40</volume><spage>63</spage><epage>77</epage><pages>63-77</pages><issn>1663-3571</issn><issn>1663-4144</issn><eissn>1663-4144</eissn><abstract>The study focused on the model analysis of failure susceptibility for some roads in the South-western part of Nigeria using TDRAMS model along with its modified version. TDRAMS, a model prepared through an analyzed weight-rating system was used to analyze pavement failure manifestation in the present study area and to what possible extent. Different pavement failure causative factors which include: Traffic load {T}, depth of water table {D}, soaked California bearing ratio {R}, cambering{A}, maximum dry density {M}, and asphalt thickness {S} were proposed. Their field data were analyzed and simulations were done to postulate a model for road failure susceptibility. The weights and ratings of the collected field data were also varied/modified to determine its effect on the model. Simulations on the varied weight showed that the most significant parameters were {T}Traffic load and {D}depth of the water table. The optimum weights were discovered to be 32 (81% weight increase) and 23 (78% weight increase) for {T}Traffic load and {D}depth to water table respectively. Simulations on the varied ratings showed that alongside with {R}soaked California bearing ratio [CBR], {T}Traffic load and {D}depth of water table were also the most significant parameters. The roads studied indicated high failure susceptibility when analyzed.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/JERA.40.63</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-0499-6998</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1663-3571
ispartof International journal of engineering research in Africa (Print), 2018-12, Vol.40, p.63-77
issn 1663-3571
1663-4144
1663-4144
language eng
recordid cdi_proquest_journals_2197387952
source Scientific.net Journals
subjects Asphalt
California bearing ratio
Cambering
Computer simulation
Failure analysis
Loads (forces)
Mathematical models
Parameters
Pavements
Penetration tests
Ratings
Roads
Water table
Water table depth
Weight
title Estimating Road Pavement Failure Susceptibility Using a Modified TDRAMS Model in South-Western Nigeria
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T05%3A25%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20Road%20Pavement%20Failure%20Susceptibility%20Using%20a%20Modified%20TDRAMS%20Model%20in%20South-Western%20Nigeria&rft.jtitle=International%20journal%20of%20engineering%20research%20in%20Africa%20(Print)&rft.au=Ogunmokun-Akinmolu,%20Bukola&rft.date=2018-12-01&rft.volume=40&rft.spage=63&rft.epage=77&rft.pages=63-77&rft.issn=1663-3571&rft.eissn=1663-4144&rft_id=info:doi/10.4028/www.scientific.net/JERA.40.63&rft_dat=%3Cproquest_cross%3E2197387952%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2197387952&rft_id=info:pmid/&rfr_iscdi=true